Find Spotify Mid-Level Software Engineer software engineering jobs

Global music and audio streaming platform revolutionizing how people listen to and discover music.

Join Spotify's Platform Developer Experience (PDX) team as a mid-level Fullstack Engineer, where you'll play a crucial role in enhancing developer productivity across the organization. This position offers an exciting opportunity to work with a small, agile team focused on improving developer workflows and establishing engineering standards.

As a Fullstack Backend Engineer, you'll be at the forefront of developing and maintaining tools that make Spotify's engineering processes more efficient. Your work will span across backend, frontend, and data domains, with a particular emphasis on backend development. You'll be involved in creating Backstage plugins, managing datasets, and implementing various developer experience improvements.

The role combines technical expertise with product thinking, requiring proficiency in languages like Java, TypeScript/JavaScript, and Python. You'll work in a flexible, hybrid environment based in either Stockholm or London, collaborating with teams across Spotify's engineering organization. This position is perfect for a generalist developer who enjoys working across the tech stack and has a passion for improving developer workflows.

What makes this role unique is the opportunity to work with cutting-edge technologies, including Generative AI solutions, while contributing to the productivity of one of the world's leading music streaming platforms. You'll be part of a team that values innovation, collaboration, and continuous improvement, making a direct impact on how Spotify's engineering teams work and deliver.

Mid-level Fullstack Backend Engineer role at Spotify focusing on improving developer experience through tools, systems, and productivity improvements.

Fullstack Backend Engineer - Platform Developer Experience

A global music and podcast streaming platform that connects artists and listeners through personalized experiences.

Spotify's Personalization teams are at the forefront of creating beloved features like Daily Mix and Discover Weekly. The Fritz team specifically focuses on next-content recommendation using machine learning models that operate in real-time. As a Machine Learning Engineer II, you'll be part of a team that's migrating training infrastructure to Ray and continuously innovating to increase user engagement.

The role involves working with cutting-edge ML technologies to solve complex personalization challenges for hundreds of millions of active users. You'll be collaborating with cross-functional teams including user research, design, data science, and product management to create features that meaningfully connect artists and fans.

The position offers competitive compensation and comprehensive benefits, including healthcare, parental leave, and retirement plans. You'll work in a flexible environment within the Eastern Standard time zone, with the opportunity to be based anywhere in North America where Spotify has a work location.

This is an excellent opportunity for an experienced ML practitioner who wants to impact how millions of people discover and enjoy music and podcasts. You'll be working with state-of-the-art technologies and frameworks while contributing to a collaborative culture of ML excellence at Spotify.

Mid-level Machine Learning Engineer position at Spotify focusing on personalization and recommendation systems, offering competitive salary and benefits.

Machine Learning Engineer II, Personalization

A leading music and podcast streaming platform that develops personalized listening experiences for users worldwide.

Join Spotify's Personalization team, the innovative force behind beloved features like Discover Weekly and AI DJ. As a Machine Learning Engineer II, you'll be at the forefront of developing prompt-based playlists and listening sessions, specifically working on the AI Playlist feature. The role combines cutting-edge LLM technology with practical implementation, requiring expertise in machine learning and production-level development. You'll work with a team that directly impacts millions of users' listening experiences, making music discovery more enjoyable and personalized. The position offers competitive compensation, comprehensive benefits, and the flexibility of remote work within North America. Spotify's commitment to work-life balance is evident through generous leave policies and flexible holidays. This is an opportunity to shape the future of music recommendation technology at a global scale while working with state-of-the-art AI systems.

Machine Learning Engineer II position at Spotify, focusing on AI-powered playlist personalization and recommendation systems using LLM technology.

Music streaming platform building tools and services for music creators and fans

Spotify is seeking a Backend Engineer to join their Music Mission engineering organization, specifically the Crescendo squad within the Music Promotion and Spotify for Artists Growth product area. This role is crucial in building tools and services that enable music creators to create, promote, express, and monetize their work at scale.

The position involves working with a team focused on crafting communication channels with customers across the Spotify for Artists experience. You'll be responsible for developing backend services in Java, working with both relational and non-relational databases, and building platforms that empower product and marketing teams to reach artists effectively.

As a Backend Engineer, you'll be solving complex architectural challenges around access and authorization, while collaborating with cross-functional teams to develop scalable solutions. The role requires expertise in Java programming, database management, and cloud technologies, particularly Google's GCP platform.

The team operates in a fast-paced, innovative environment where you'll have opportunities for individual growth through hack time, reading groups, lectures, and various internal training courses. You'll be working remotely within the North American region, collaborating in the EST time zone.

The position offers a competitive salary range of $125,562 - $179,374 plus equity, along with comprehensive benefits including health insurance, parental leave, retirement plans, and generous paid time off. This is an excellent opportunity for experienced developers who are passionate about building tools that help artists succeed on one of the world's leading music platforms.

Backend Engineer position at Spotify focusing on building services and tools for the Music Mission organization, requiring Java expertise and database management skills.

Backend Engineer - Music

A global music and audio streaming platform delivering personalized content to millions of users worldwide.

Spotify's Experience team is seeking a Machine Learning Engineer to join their Content Understanding teams, focusing on enriching the lives of millions of users worldwide through advanced ML solutions. The role involves working on cutting-edge projects like audio fingerprinting for podcast music recognition, video/image tagging for moderation and recommendations, audiobook author attribution using graph ML, and content categorization for royalty calculations.

The position offers an opportunity to work with a diverse team of professionals averaging 11 years of music industry experience, including product specialists, ML engineers, data engineers, and backend developers. You'll be at the forefront of expanding Spotify's AI capabilities, using world-class engineering and machine learning techniques on real-world big data.

The role combines hands-on ML development with practical implementation at scale, serving hundreds of millions of active users. You'll be involved in everything from prototyping new approaches to production deployment, working in a collaborative, agile environment alongside design, data science, product management, and engineering teams.

Key projects include developing audio fingerprinting systems for podcast music recognition (ensuring proper royalty distribution), implementing video and image tagging for content moderation, creating graph ML approaches for audiobook author attribution, and building classification systems for catalog content management.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global leader in audio streaming technology. Based in New York City, you'll be part of a team that's pushing the boundaries of AI-based machine technology to enhance the Spotify experience for users worldwide.

Machine Learning Engineer role at Spotify focusing on content understanding, audio fingerprinting, and ML systems at scale.

Machine Learning Engineer - Content Understanding

Global music and audio streaming platform transforming the digital music industry.

Spotify is seeking a Backend Engineer to join their Subscriptions R&D team within the Commerce Platform. This role focuses on developing core capabilities managing multiple backend services and data sets that power Invoicing, Receipts, Payment Orchestration, and purchase flows end-to-end. The position offers an excellent opportunity for both early-career engineers and experienced professionals looking for new challenges.

The role involves working with complex systems at high scale, implementing changes that impact Spotify's commerce ecosystem. You'll be part of a team responsible for developing services and data pipelines aimed at improving capabilities and providing a resilient, high-performing commerce platform. The position requires expertise in Python or Java, familiarity with cloud platforms, and database technologies.

Working in a collaborative environment, you'll interact with teams across Spotify, contributing to the platform's evolution while gaining exposure to backend, data, and ML-based systems. The role demands strong problem-solving abilities, excellent communication skills, and a dedication to teamwork. Experience in e-commerce or financial engineering domains is valuable but not mandatory.

Based in either London or Stockholm, you'll be part of Spotify's innovative engineering culture, working on solutions that impact millions of users worldwide. This position offers the perfect blend of technical challenges and professional growth opportunities, allowing you to contribute to one of the world's leading music and audio streaming platforms while developing your expertise in complex backend systems and commerce technologies.

Backend Engineer position at Spotify focusing on subscriptions and commerce platform development, offering hybrid work in London or Stockholm.

Backend Engineer - Subscriptions

A global music and audio streaming platform providing digital music, podcast and video services.

Join Spotify's Observability and Reliability Infrastructure team as a Backend Engineer II, where you'll be instrumental in building and maintaining their large-scale, distributed systems. This role focuses on providing coherent observability and reliability platforms for Spotify's microservice infrastructure, enabling teams to confidently operate their services.

As a Backend Engineer II, you'll work in an environment that values intellectual curiosity and problem-solving, with the support and mentorship needed to learn and grow. You'll be responsible for architecting, developing, and operating Java services, while also being a technical leader within Spotify's backend developer community.

The position offers exciting challenges in scaling and optimizing systems through automation, working with modern technologies like Kubernetes, Go, and various cloud services. You'll be part of a team that values sustainable incident response and blameless postmortems, contributing to Spotify's mission of delivering media worldwide.

Located in Toronto, this hybrid role provides an opportunity to work with a global team while maintaining work-life balance. You'll participate in regular hack days and bi-annual hack weeks, allowing you to explore innovative solutions and contribute to Spotify's technical evolution.

The ideal candidate combines strong technical expertise in distributed systems, Java development, and cloud services with excellent problem-solving and communication skills. If you're passionate about building reliable, scalable systems and want to impact how millions of users experience music and audio content, this role offers an exciting opportunity to shape the future of Spotify's infrastructure.

Backend Engineer II position at Spotify focusing on building and maintaining observability and reliability infrastructure for large-scale distributed systems.

Backend Engineer II - Platform

Spotify is a leading music and audio streaming platform.

We are looking for a Backend Engineer to join our Data Protection team and be a key player in ensuring that data at Spotify is appropriately protected. You will contribute to building a scalable data protection platform that ensures data across Spotify is appropriately protected, managed, and deleted when no longer needed. This is a highly impactful role where you'll develop systems that empower engineers across the company to efficiently deliver secure, reliable, and compliant solutions.

You'll design, build, and optimise backend services and data pipelines that support data retention, access, and deletion requirements, ensuring Spotify meets evolving privacy and regulatory standards. Collaborate with cross-functional teams to tackle challenging problems and implement solutions that scale to meet the needs of the entire organisation.

What You'll Do:
- Design, develop, and maintain backend services and data pipelines that enable the safe use of data across the company.
- Collaborate closely with globally distributed teams to implement solutions that scale to handle millions of requests per second.
- Utilise technologies such as Java, Scala, microservices, Google Cloud Platform (GCP), Dataflow, and Spanner.
- Participate in the operational responsibility for services, including being part of an on-call rotation for critical service at Spotify.
- Drive automation efforts to improve system efficiency, reliability, and scalability.
- Drive the optimization, testing, and tooling efforts to improve the quality of data and systems.
- Contribute to a culture of continuous learning, experimentation, and adopting new technologies.

Who You Are:
- You have at least two years professional experience working in a product-driven environment building production software.
- You know how to write distributed, high-volume services and have strong programming skills in Java and/or Scala.
- Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Dataflow, GCS, BigQuery and Spanner.
- Ability to work optimally in a remote-first, distributed team environment.
- A track record of designing and driving small to medium-scale automation projects autonomously.

Where You'll Be:
- For this role you will be in London or Madrid

Backend Engineer for Spotify's Data Protection team, building scalable platforms to ensure data security and compliance.

Backend Engineer - Platform

Spotify is the world's most popular audio streaming subscription service, transforming music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer to join their Advertising Product & Technology team. This role offers an exciting opportunity to work on scaling Spotify's Free Product and Podcast Monetization Mission, impacting hundreds of millions of fans and thousands of advertisers.

As a Backend Engineer, you'll be at the forefront of building a next-generation advertising platform, working on product features, advertiser publishing tools, and insights and reporting functionalities. You'll collaborate with cross-functional teams to develop complex technical solutions for podcast and ad services technology platforms.

Key responsibilities include designing scalable backend systems and APIs, architecting and developing Java services for millions of users, and working with data processing frameworks like Scio, Storm, Spark, and Google Cloud Platform. You'll be a technical leader in an agile team, contributing to Spotify's backend developer community and driving architecture across the company.

The ideal candidate has 4+ years of experience as a Backend Engineer, proficiency in Java, and a track record of working with stakeholders to develop APIs and systems. You should have experience with distributed, high-volume services and an interest in big data processing. A deep understanding of system design, data structures, and algorithms is essential, along with a commitment to shipping high-quality code.

Spotify offers a competitive salary range of $122,716 - $175,308, plus equity. Benefits include health insurance, six months paid parental leave, a 401(k) plan, monthly meal allowance, and generous paid time off. The role is remote-friendly within the North America region, operating in the Eastern Standard time zone.

Join Spotify and be part of a diverse, inclusive workplace that values creativity and innovation. Help revolutionize the way the world listens to music and podcasts while working with cutting-edge technologies in a dynamic, fast-paced environment.

Spotify seeks a Backend Engineer for its Advertising team to build scalable systems impacting millions of users. 4+ years experience required.

Spotify Mid-Level Software Engineer Software Engineering Jobs

Find Spotify Mid-Level Software Engineer software engineering jobs